报告题目：High Dimensional Data Recovery

报告时间：2023年9月28日14:00-15:00

报告形式：#腾讯会议：691-793-600

报告摘要：In recent years, high dimensional data recovery has been extensively studied and analyzed, which can be applied to many data science applications such as recommendation, image recovery and one-bit data statistical estimation. In this talk, we present several variants of data recovery models and their applications using linear algebra techniques. We provide theoretical insight to create a rigorous scientific basis for solving such data recovery problems. Numerical examples are also given to demonstrate the usefulness of these models.

报告人简介：吴国宝，香港浸会大学数学与数据科学讲座教授，数学家，美国工业与应用数学学会院士(SIAM  Fellow),冯康科学计算奖得主。主要研究方向为应用与计算数学、人工智能与机器学习、数据与影像科学与数值线性代数与科学计算。吴国宝教授先后担任多个著名杂志主编或者副主编，包括SIAM Journal on Imaging Sciences，SIAM Journal on Scientific Computing，Journal of Scientific Computing，Journal of Computational and Applied Mathematics等。吴国宝教授发表学术著作700多篇，文章引用次数多达2万多次。